Unlock the Value of Generative AI in the Cloud
Webinar Speaker: James Kobielus, Senior Research Director for Data Management
Date: Wednesday, September 18, 2024
Time: 9:00 a.m. PT / 12:00 p.m. ET
Sophisticated AI applications are at the heart of modern business go-to-market strategies. When deployed into customer-facing applications, AI can power better sales performance, more effective marketing campaigns, improved customer experience and retention, and much more.
Generative AI is increasingly the differentiator in the customer journey. Driving conversational AI through cloud-based large language models, generative AI is the engine behind a new generation of self-service applications that leverage natural language processing. As a core feature of chatbots, copilots, and embedded digital assistants, generative AI can drive 1:1 personalization, contextual recommendations, and real-time guidance both for the customer directly and for sales, service, marketing, and other stakeholders.
High-quality unified customer data is a key ingredient for unlocking the business value of generative AI. In this webinar, TDWI senior research director James Kobielus will discuss how enterprises can enrich their generative AI applications by leveraging data and analytics as a service in the cloud. He will be joined by Sneh Kakileti, ZoomInfo’s VP of product management, and Tom Cannon, Google’s head of data ecosystem for cloud partner engineering, for an in-depth discussion of generative AI opportunities and challenges. They will discuss the following topics:
- How are today’s sales, marketing, and customer relationship management professionals using generative AI to boost their productivity?
- How important is high-quality unified enterprise data for building high-performance generative AI?
- What are the best practices for establishing a reliable data foundation for generative AI?
- What are the principal challenges for enterprises in building and deploying high-performance generative AI applications?
- How can enterprises leverage a cloud-based data exchange to acquire the third-party data assets needed to enrich their generative AI applications?
- What are the best practices and emerging approaches for making generative AI applications accessible at scale, easier to use, and more trustworthy?
Guest Speakers
Sneh Kakileti
VP, Product Management, Data and Operations
ZoomInfo
Sneh's career started at ZoomInfo as an engineer working on various integration features. His love for solving customer problems led him to join the product organization. When not working on innovating ZoomInfo's products, Sneh is a struggling NYC sports fan living in Boston.
Tom Cannon
Google Cloud
Head of Data Ecosystem
Google Cloud
Tom is a software exec with over 25 years' experience building successful data-driven products, platforms, and partnerships. He has held global roles in product management, marketing, partner ecosystems, innovation, and consulting within scale-ups and industry leaders Salesforce and HSBC.
He currently leads the data ecosystem partner engineering at Google Cloud, where he works with data providers worldwide, helping them create new products with Google's powerful data and AI cloud. He's a regular contributor to the Google Cloud blog and speaks at events about the potential of data and AI innovation.
Date: September 18, 2024
Time: 9:00 am PT
James Kobielus